Comment on "From plant traits to plant communities: a statistical mechanistic approach to biodiversity"
Shipley et al. (Reports, 3 November 2006, p. 812) developed a quantitative method for predicting the relative abundance of species from measured traits. We show that the method can have high explanatory power even when all trait and abundance data are randomly and independently generated, because of...
Gespeichert in:
| Veröffentlicht in: | Science (American Association for the Advancement of Science) 2007-06, Vol.316 (5830), p.1425; author reply 1425-1425c; 1425b-1425b |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1425c; 1425b-1425b |
|---|---|
| container_issue | 5830 |
| container_start_page | 1425; author reply 1425 |
| container_title | Science (American Association for the Advancement of Science) |
| container_volume | 316 |
| creator | Roxburgh, Stephen H Mokany, Karel |
| description | Shipley et al. (Reports, 3 November 2006, p. 812) developed a quantitative method for predicting the relative abundance of species from measured traits. We show that the method can have high explanatory power even when all trait and abundance data are randomly and independently generated, because of a mathematical dependence between the observations and predictions. We also suggest a potential solution to this problem. |
| doi_str_mv | 10.1126/science.1138810 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_743129896</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1282737071</sourcerecordid><originalsourceid>FETCH-LOGICAL-c489t-3a8df5101515e9d5531313a399ad6dbb225f47e624abced68f38e99b8a2075ae3</originalsourceid><addsrcrecordid>eNqNkU1LAzEQhoMoWj_O3mTpQU9r87FJE29SrAoFL3pestlZG-luapIV-u9N7YLgQSWH8JJnhpk8CJ0TfE0IFZNgLHQGUmBSEryHRgQrniuK2T4aYcxELvGUH6HjEN4wTm-KHaIjMuVccKFG6HXm2ha6mLkuG8-9a7P1SqcYvbYxZNEN2SSs72y0EG4ynYWoow3RGr3KWjBL3X2lTK_X3mmz3BZW1tX2A3ywcTM-RQeNXgU4G-4T9DK_e5495Iun-8fZ7SI3hVQxZ1rWDSeYcMJB1Zwzko5mSula1FVFKW-KKQha6MpALWTDJChVSU3TmhrYCbra9U1zvPcQYtnaYGCVlgDXh3JaMEKVVCKRl7-TWFCshPwPiNOc-E-QcZLsEJbA8Q_wzfW-S_9SUsK4lJQUCZrsIONdCB6acu1tq_2mJLjcyi8H-eUgP1VcDG37qoX6mx9ss0-heauP</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>213588214</pqid></control><display><type>article</type><title>Comment on "From plant traits to plant communities: a statistical mechanistic approach to biodiversity"</title><source>MEDLINE</source><source>JSTOR Archive Collection A-Z Listing</source><source>American Association for the Advancement of Science</source><creator>Roxburgh, Stephen H ; Mokany, Karel</creator><creatorcontrib>Roxburgh, Stephen H ; Mokany, Karel</creatorcontrib><description>Shipley et al. (Reports, 3 November 2006, p. 812) developed a quantitative method for predicting the relative abundance of species from measured traits. We show that the method can have high explanatory power even when all trait and abundance data are randomly and independently generated, because of a mathematical dependence between the observations and predictions. We also suggest a potential solution to this problem.</description><identifier>ISSN: 0036-8075</identifier><identifier>EISSN: 1095-9203</identifier><identifier>DOI: 10.1126/science.1138810</identifier><identifier>PMID: 17556569</identifier><identifier>CODEN: SCIEAS</identifier><language>eng</language><publisher>United States: The American Association for the Advancement of Science</publisher><subject>Biodiversity ; Ecology - methods ; Mathematics ; Models, Biological ; Models, Statistical ; Monte Carlo Method ; Plant Physiological Phenomena ; Plants ; Population Density ; Statistics as Topic</subject><ispartof>Science (American Association for the Advancement of Science), 2007-06, Vol.316 (5830), p.1425; author reply 1425-1425c; 1425b-1425b</ispartof><rights>Copyright © 2007, American Association for the Advancement of Science</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-3a8df5101515e9d5531313a399ad6dbb225f47e624abced68f38e99b8a2075ae3</citedby><cites>FETCH-LOGICAL-c489t-3a8df5101515e9d5531313a399ad6dbb225f47e624abced68f38e99b8a2075ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2884,2885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17556569$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roxburgh, Stephen H</creatorcontrib><creatorcontrib>Mokany, Karel</creatorcontrib><title>Comment on "From plant traits to plant communities: a statistical mechanistic approach to biodiversity"</title><title>Science (American Association for the Advancement of Science)</title><addtitle>Science</addtitle><description>Shipley et al. (Reports, 3 November 2006, p. 812) developed a quantitative method for predicting the relative abundance of species from measured traits. We show that the method can have high explanatory power even when all trait and abundance data are randomly and independently generated, because of a mathematical dependence between the observations and predictions. We also suggest a potential solution to this problem.</description><subject>Biodiversity</subject><subject>Ecology - methods</subject><subject>Mathematics</subject><subject>Models, Biological</subject><subject>Models, Statistical</subject><subject>Monte Carlo Method</subject><subject>Plant Physiological Phenomena</subject><subject>Plants</subject><subject>Population Density</subject><subject>Statistics as Topic</subject><issn>0036-8075</issn><issn>1095-9203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1LAzEQhoMoWj_O3mTpQU9r87FJE29SrAoFL3pestlZG-luapIV-u9N7YLgQSWH8JJnhpk8CJ0TfE0IFZNgLHQGUmBSEryHRgQrniuK2T4aYcxELvGUH6HjEN4wTm-KHaIjMuVccKFG6HXm2ha6mLkuG8-9a7P1SqcYvbYxZNEN2SSs72y0EG4ynYWoow3RGr3KWjBL3X2lTK_X3mmz3BZW1tX2A3ywcTM-RQeNXgU4G-4T9DK_e5495Iun-8fZ7SI3hVQxZ1rWDSeYcMJB1Zwzko5mSula1FVFKW-KKQha6MpALWTDJChVSU3TmhrYCbra9U1zvPcQYtnaYGCVlgDXh3JaMEKVVCKRl7-TWFCshPwPiNOc-E-QcZLsEJbA8Q_wzfW-S_9SUsK4lJQUCZrsIONdCB6acu1tq_2mJLjcyi8H-eUgP1VcDG37qoX6mx9ss0-heauP</recordid><startdate>20070608</startdate><enddate>20070608</enddate><creator>Roxburgh, Stephen H</creator><creator>Mokany, Karel</creator><general>The American Association for the Advancement of Science</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7SS</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20070608</creationdate><title>Comment on "From plant traits to plant communities: a statistical mechanistic approach to biodiversity"</title><author>Roxburgh, Stephen H ; Mokany, Karel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-3a8df5101515e9d5531313a399ad6dbb225f47e624abced68f38e99b8a2075ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Biodiversity</topic><topic>Ecology - methods</topic><topic>Mathematics</topic><topic>Models, Biological</topic><topic>Models, Statistical</topic><topic>Monte Carlo Method</topic><topic>Plant Physiological Phenomena</topic><topic>Plants</topic><topic>Population Density</topic><topic>Statistics as Topic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roxburgh, Stephen H</creatorcontrib><creatorcontrib>Mokany, Karel</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Science (American Association for the Advancement of Science)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roxburgh, Stephen H</au><au>Mokany, Karel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comment on "From plant traits to plant communities: a statistical mechanistic approach to biodiversity"</atitle><jtitle>Science (American Association for the Advancement of Science)</jtitle><addtitle>Science</addtitle><date>2007-06-08</date><risdate>2007</risdate><volume>316</volume><issue>5830</issue><spage>1425; author reply 1425</spage><epage>1425c; 1425b-1425b</epage><pages>1425; author reply 1425-1425c; 1425b-1425b</pages><issn>0036-8075</issn><eissn>1095-9203</eissn><coden>SCIEAS</coden><abstract>Shipley et al. (Reports, 3 November 2006, p. 812) developed a quantitative method for predicting the relative abundance of species from measured traits. We show that the method can have high explanatory power even when all trait and abundance data are randomly and independently generated, because of a mathematical dependence between the observations and predictions. We also suggest a potential solution to this problem.</abstract><cop>United States</cop><pub>The American Association for the Advancement of Science</pub><pmid>17556569</pmid><doi>10.1126/science.1138810</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0036-8075 |
| ispartof | Science (American Association for the Advancement of Science), 2007-06, Vol.316 (5830), p.1425; author reply 1425-1425c; 1425b-1425b |
| issn | 0036-8075 1095-9203 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_743129896 |
| source | MEDLINE; JSTOR Archive Collection A-Z Listing; American Association for the Advancement of Science |
| subjects | Biodiversity Ecology - methods Mathematics Models, Biological Models, Statistical Monte Carlo Method Plant Physiological Phenomena Plants Population Density Statistics as Topic |
| title | Comment on "From plant traits to plant communities: a statistical mechanistic approach to biodiversity" |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T03%3A25%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comment%20on%20%22From%20plant%20traits%20to%20plant%20communities:%20a%20statistical%20mechanistic%20approach%20to%20biodiversity%22&rft.jtitle=Science%20(American%20Association%20for%20the%20Advancement%20of%20Science)&rft.au=Roxburgh,%20Stephen%20H&rft.date=2007-06-08&rft.volume=316&rft.issue=5830&rft.spage=1425;%20author%20reply%201425&rft.epage=1425c;%201425b-1425b&rft.pages=1425;%20author%20reply%201425-1425c;%201425b-1425b&rft.issn=0036-8075&rft.eissn=1095-9203&rft.coden=SCIEAS&rft_id=info:doi/10.1126/science.1138810&rft_dat=%3Cproquest_cross%3E1282737071%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=213588214&rft_id=info:pmid/17556569&rfr_iscdi=true |